Total variation regularization in measurement and image space for PET reconstruction M Burger, J Müller, E Papoutsellis, CB Schönlieb Inverse Problems 30 (10), 105003, 2014 | 71 | 2014 |
Core Imaging Library--Part I: a versatile Python framework for tomographic imaging JS Jørgensen, E Ametova, G Burca, G Fardell, E Papoutsellis, E Pasca, ... https://royalsocietypublishing.org/doi/10.1098/rsta.2020.0192, 2021 | 49 | 2021 |
Infimal Convolution Regularisation Functionals of BV and $$\varvec {\mathrm {L}}^{\varvec {p}} $$ Spaces M Burger, K Papafitsoros, E Papoutsellis, CB Schönlieb Journal of Mathematical Imaging and Vision 55 (3), 343-369, 2016 | 49* | 2016 |
Core Imaging Library--Part II: Multichannel reconstruction for dynamic and spectral tomography E Papoutsellis, E Ametova, C Delplancke, G Fardell, JS Jørgensen, ... https://royalsocietypublishing.org/doi/10.1098/rsta.2020.0193, 2021 | 38 | 2021 |
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction R Warr, E Ametova, RJ Cernik, G Fardell, S Handschuh, JS Jørgensen, ... https://www.nature.com/articles/s41598-021-00146-4, 2021 | 14 | 2021 |
Motion estimation and correction for simultaneous PET/MR using SIRF and CIL R Brown, C Kolbitsch, C Delplancke, E Papoutsellis, J Mayer, ... Philosophical Transactions of the Royal Society A 379 (2204), 20200208, 2021 | 11 | 2021 |
Infimal Convolution Regularisation Functionals of and Spaces. The Case M Burger, K Papafitsoros, E Papoutsellis, CB Schönlieb IFIP Conference on System Modeling and Optimization, 169-179, 2015 | 10 | 2015 |
Crystalline phase discriminating neutron tomography using advanced reconstruction methods E Ametova, G Burca, S Chilingaryan, G Fardell, JS Jørgensen, ... Journal of Physics D: Applied Physics 54 (32), 325502, 2021 | 9 | 2021 |
Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling A Kofler, F Altekrüger, F Antarou Ba, C Kolbitsch, E Papoutsellis, D Schote, ... SIAM Journal on Imaging Sciences 16 (4), 2202-2246, 2023 | 7 | 2023 |
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction. arXiv 2021 R Warr, E Ametova, RJ Cernik, G Fardell, S Handschuh, JS Jørgensen, ... arXiv preprint arXiv:2103.04796, 0 | 6 | |
Infimal convolution spatiotemporal PET reconstruction using total variation based priors M Bergounioux, E Papoutsellis, S Stute, C Tauber | 4 | 2018 |
An anisotropic inf-convolution bv type model for dynamic reconstruction M Bergounioux, E Papoutsellis SIAM Journal on Imaging Sciences 11 (1), 129-163, 2018 | 2 | 2018 |
First-order gradient regularisation methods for image restoration: reconstruction of tomographic images with thin structures and denoising piecewise affine images E Papoutsellis | 2 | 2016 |
Anatomically-guided deconvolution of PET using directional total variation regularization AG Gillman, MH Quah, E Papoutsellis, K Thielemans, P Bourgeat, ... medRxiv, 2023.04. 23.23289004, 2023 | 1 | 2023 |
A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL) J Sauer Jørgensen, E Papoutsellis, L Murgatroyd, G Fardell, E Pasca arXiv e-prints, arXiv: 2310.01671, 2023 | | 2023 |
Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction A Kofler, F Altekrüger, FA Ba, C Kolbitsch, E Papoutsellis, D Schote, ... arXiv preprint arXiv:2310.16846, 2023 | | 2023 |
A directional regularization method for the limited-angle Helsinki Tomography Challenge using the Core Imaging Library (CIL) JS Jørgensen, E Papoutsellis, L Murgatroyd, G Fardell, E Pasca Applied Mathematics for Modern Challenges 1 (2), 143-169, 2023 | | 2023 |
Joint reconstruction with a correlative regularisation technique for multi-channel neutron tomography E Ametova, G Burca, G Fardell, JS Jørgensen, E Papoutsellis, E Pasca, ... 16th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2021 | | 2021 |
Status update on the Synergistic Image Reconstruction Framework: version 3.0 R Brown, C Kolbitsch, E Ovtchinnikov, J Mayer, AG Gillman, E Pasca, ... | | |
Mathematical Imaging: A journey from Theory to Applications L Calatroni, K Papafitsoros, E Papoutsellis | | |